Abstract: A system that is a target of health monitoring via a computational system, the computational system, and corresponding method for determining health indicators using rank correlation analysis are disclosed. The target system includes a computational system that includes a computing device that acquires data from the target system, generate at least two features from the data acquired from the target system, computes, for each feature, rank correlation of the feature with time, computes the absolute value of each rank correlation coefficient for each feature, confining the range of the absolute value rank correlation coefficients to that from 0 to 1; and chooses at least one feature with a higher relative absolute value rank correlation coefficient as a health or condition indicator for the target system. The target system or the computational system or the method may perform health or condition monitoring on the target system.

Abstract: A system that is a target of health monitoring via a computational system, the computational system, and corresponding method for determining health indicators using rank correlation analysis are disclosed. The target system includes a computational system that includes a computing device that acquires data from the target system, generate at least two features from the data acquired from the target system, computes, for each feature, rank correlation of the feature with time, computes the absolute value of each rank correlation coefficient for each feature, confining the range of the absolute value rank correlation coefficients to that from 0 to 1; and chooses at least one feature with a higher relative absolute value rank correlation coefficient as a health or condition indicator for the target system. The target system or the computational system or the method may perform health or condition monitoring on the target system.